Data science specialist

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78zw77

Job Purpose We are seeking a Data Science Specialist to join the Data & Analytics Team within IT. Based in our Milan HQ, the role focuses on designing and industrializing AI solutions for customer personalization and recommendation systems. The ideal candidate combines strong technical skills with the ability to coordinate small external development teams and work across multiple IT and business functions on complex enterprise programs. Responsibilities Design and deploy personalization models and recommendation engines, translating business requirements into scalable, data‐driven solutions. Lead the full lifecycle of data science projects – from prototyping to production – ensuring alignment with enterprise platform standards. Coordinate small teams of external developers, overseeing code quality, timelines, and deliverables. Collaborate on cross‐IT programs, managing dependencies with other teams (Data Platform, Integration, Digital, CRM) and business stakeholders. Build and maintain scalable data pipelines on Databricks and Azure to support model training, serving,



and continuous improvement. Monitor model performance and proactively identify opportunities to enhance accuracy and business impact. Contribute to ML Ops best practices and reusable frameworks within the Data Science area. Knowledge And Skills Master's degree in a quantitative field (Statistics, Computer Science, Machine Learning, Data Science, Mathematics, Engineering) or equivalent experience. 4+ years of industry experience in data science, with a strong focus on personalization and recommendation systems. Advanced proficiency in Python and Py Spark; solid knowledge of SQL. Hands‐on experience with recommendation models (collaborative filtering, content‐based, hybrid) and personalization algorithms at scale. Strong experience with Databricks (MLflow, Feature Store, Model Serving) and Azure. Familiarity with ML Ops practices (CI/CD for ML, model monitoring, automated retraining). Experience managing

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78zw77